Successful Content Management Through Taxonomy And Metadata Designsarakirsten
The document discusses taxonomy and metadata design for content management. It defines taxonomy and metadata, and explains how taxonomies can provide structure to unstructured information and enable findability. It discusses different types of taxonomies including traditional vs. business taxonomies. The document outlines best practices for taxonomy design such as defining use cases, audience, and governance as well as controlling depth and breadth. It proposes a workshop concept to develop taxonomies through identifying topics, verbs, nouns, and creating a starter taxonomy.
This document provides an overview and introduction to taxonomies and their use in SharePoint. It defines what a taxonomy is, discusses different approaches to structuring taxonomies, and describes how taxonomies can benefit content retrieval over search alone. It also outlines how taxonomies can be used and customized in SharePoint, including as metadata, for filtering, sorting, and refining search results. The document discusses best practices for designing, editing, tagging content with, and governing taxonomies.
Describes what Enterprise Data Architecture in a Software Development Organization should cover and does that by listing over 200 data architecture related deliverables an Enterprise Data Architect should remember to evangelize.
Data Architecture is foundational to an information-based operational environment. Without proper structure and efficiency in organization, data assets cannot be utilized to their full potential, which in turn harms bottom-line business value. When designed well and used effectively, however, a strong Data Architecture can be referenced to inform, clarify, understand, and resolve aspects of a variety of business problems commonly encountered in organizations.
The goal of this webinar is not to instruct you in being an outright Data Architect, but rather to enable you to envision a number of uses for Data Architectures that will maximize your organization’s competitive advantage. With that being said, we will:
Discuss Data Architecture’s guiding principles and best practices
Demonstrate how to utilize Data Architecture to address a broad variety of organizational challenges and support your overall business strategy
Illustrate how best to understand foundational Data Architecture concepts based on “The DAMA Guide to the Data Management Body of Knowledge” (DAMA DMBOK)
SharePoint Folders vs. Metadata Best PracticesChris Woodill
This document compares the use of folders versus metadata for organizing documents in SharePoint. It explains that metadata involves assigning attributes or tags to describe documents, while folders act as containers. Using site columns to define metadata attributes provides more flexibility than folders for filtering, sorting, tagging multiple attributes per document, and reusing definitions across libraries. However, folders still have advantages for security, large file volumes, and avoiding file name collisions. The conclusion recommends planning a taxonomy first using reusable site columns for metadata before relying solely on folders.
Enterprise Knowledge - Taxonomy Design Best Practices and MethodologyEnterprise Knowledge
This presentation, origninally presented at the Knowledge Management Institute's KM Symposium on March 27, 2014, addresses the concepts of business taxonomy value, taxonomy design methodology, and taxonomy design best practices. It is intended as an introductory deck for anyone seeking guidance on taxonomy design efforts.
The document discusses document management capabilities in SharePoint 2010, including using Document IDs to identify and track documents, discovering how Document Sets are used to group related documents, and implementing rules based document submission via the SharePoint Content Organizer feature. The objectives are to learn about these document management capabilities in SharePoint 2010 and use the Document Center site template to manage large document repositories.
Data Architecture Best Practices for Advanced AnalyticsDATAVERSITY
Many organizations are immature when it comes to data and analytics use. The answer lies in delivering a greater level of insight from data, straight to the point of need.
There are so many Data Architecture best practices today, accumulated from years of practice. In this webinar, William will look at some Data Architecture best practices that he believes have emerged in the past two years and are not worked into many enterprise data programs yet. These are keepers and will be required to move towards, by one means or another, so it’s best to mindfully work them into the environment.
This document discusses taxonomy and metadata. It defines taxonomy as a classification scheme designed to group related things together, which can be informal or highly formalized. Taxonomies are semantic and provide a fixed vocabulary to label content meaningfully. Taxonomies act as knowledge maps and artificial memory devices by structuring concepts. The document also defines metadata as "data about data" such as author, title, and other information about a document. Metadata is used to identify, manage, retrieve, and connect content, as well as support business processes and records management. Standards like Dublin Core are discussed, as well as challenges around enforcing metadata use and acquiring metadata from users.
Metadata management is critical for organizations looking to understand the context, definition and lineage of key data assets. Data models play a key role in metadata management, as many of the key structural and business definitions are stored within the models themselves. Can data models replace traditional metadata solutions? Or should they integrate with larger metadata management tools & initiatives?
Join this webinar to discuss opportunities and challenges around:
How data modeling fits within a larger metadata management landscape
When can data modeling provide “just enough” metadata management
Key data modeling artifacts for metadata
Organization, Roles & Implementation Considerations
The document discusses best practices for capturing data requirements for projects that are data-rich. It emphasizes the importance of taking a top-down requirements approach and maintaining traceability between requirements. While use cases are useful, they often do not fully capture data needs. The document advocates looking beyond immediate needs to plan for business intelligence by capturing additional relevant data elements upfront.
The document discusses elements of developing a business intelligence strategy, including understanding an organization's BI maturity level, aligning metrics and goals across different business units, establishing a Business Intelligence Competency Center, and determining whether to build a BI solution from scratch or purchase pre-built BI applications. It provides an overview of various components that should be considered when creating a comprehensive BI strategy.
Contact Innovate Vancouver to help on your next project!
Knowledge Management in Sharepoint - Article:
https://innovatevancouver.org/2022/10/10/knowledge-management-in-sharepoint/
Travis Barker, MPA GCPM
[email protected]
https://innovatevancouver.org
The document discusses using SharePoint 2010 as a document management system. It provides details on document management features in SharePoint including metadata, content types, site columns and libraries. Metadata is described as driving all content organization in SharePoint. Specific steps are outlined for creating content types and site columns to organize documents. Content types allow documents to be categorized and associated metadata to be automatically added. The document also provides examples of how different types of documents could be organized in libraries using content types and metadata fields.
Content services to capture and scale your expertise
SharePoint Syntex uses advanced AI and machine teaching to amplify human expertise, automate content processing, and transform content into knowledge.
Content understanding
Create AI models that capture expertise to classify and extract information and automatically apply metadata.
Capture expertise with AI
Build no-code AI models that teach the cloud to read content the way you do.
Enrich content and metadata
Find key facts in your content to improve search and teamwork.
Content processing
Automate the capture, ingestion, and categorization of content and streamline content-centric processes.
Automatically classify content
Use advanced AI in SharePoint Syntex to capture and tag structured and unstructured content.
Streamline content processes
Integrate with Power Automate to build workflows that leverage extracted metadata.
Content compliance
Connect and manage content to improve security and compliance.
Integrate content across systems
Connect SharePoint Syntex to content inside and outside Microsoft 365.
Protect and manage content
Enforce security and compliance policies with automatically applied sensitivity and retention labels.
This document provides an overview of the Alteryx self-service data analytics platform. It describes Alteryx as a platform that combines data preparation, blending, and predictive, statistical and spatial analytics in an intuitive interface. It then discusses the different types of users of Alteryx, including data analysts, BI developers, and DBAs. Finally, it promotes trying Alteryx for free and provides a demonstration of its data preparation, blending, statistical analysis and spatial analysis capabilities using Pokémon Go datasets.
Presentation given on March 12, 2013 by Marjorie M.K. Hlava of Access Innovations, Inc. as a webinar for the San Francisco chapter of the Special Libraries Association.
Data protection and privacy regulations such as the EU’s General Data Protection Regulation (GDPR), the California Consumer Privacy Act (CCPA), and Singapore’s Personal Data Protection Act (PDPA) have been major drivers for data governance initiatives and the emergence of data catalog solutions. Organizations have an ever-increasing appetite to leverage their data for business advantage, either through internal collaboration, data sharing across ecosystems, direct commercialization, or as the basis for AI-driven business decision-making. This requires data governance and especially data asset catalog solutions to step up once again and enable data-driven businesses to leverage their data responsibly, ethically, compliantly, and accountably.
This presentation explores how data catalog has become a key technology enabler in overcoming these challenges.
Tackling Data Quality problems requires more than a series of tactical, one-off improvement projects. By their nature, many Data Quality problems extend across and often beyond an organization. Addressing these issues requires a holistic architectural approach combining people, process, and technology. Join Nigel Turner and Donna Burbank as they provide practical ways to control Data Quality issues in your organization.
This document provides an overview and evaluation of several leading vendors in the IT service management (ITSM) platforms market, including Atlassian, BMC, and EasyVista. It examines each vendor's product offerings, strategies, strengths, and cautions. Key information includes Atlassian's focus on providing a single platform for development, operations, and business teams; BMC's capabilities for mature service operations and its global enterprise experience; and EasyVista's targeting of the midmarket and specific verticals through newly acquired capabilities and customer initiatives. The document is Gartner's Magic Quadrant report on ITSM platforms published on October 31, 2022.
The document discusses operational data warehousing and the Data Vault model. It begins with an agenda for the presentation and introduction of the speaker. It then provides a short review of the Data Vault model. The remainder of the document discusses operational data warehousing, how the Data Vault model is well-suited for this purpose, and the benefits it provides including flexibility, scalability, and productivity. It also discusses how tools and technologies are advancing to support automation and self-service business intelligence using an operational data warehouse architecture based on the Data Vault model.
This SharePoint Power User training is designed for individuals who need to learn the fundamentals of managing SharePoint sites. Is your organization using (or thinking about) SharePoint? SharePoint Power User Course will equip you to know how to be more productive and work more efficiently in SharePoint. After an introduction to SharePoint 2013, you will learn many practical tools, from site creation and deletion to creating and managing lists and libraries.
Data mesh is a decentralized approach to managing and accessing analytical data at scale. It distributes responsibility for data pipelines and quality to domain experts. The key principles are domain-centric ownership, treating data as a product, and using a common self-service infrastructure platform. Snowflake is well-suited for implementing a data mesh with its capabilities for sharing data and functions securely across accounts and clouds, with built-in governance and a data marketplace for discovery. A data mesh implemented on Snowflake's data cloud can support truly global and multi-cloud data sharing and management according to data mesh principles.
Data Architecture Strategies: Building an Enterprise Data Strategy – Where to...DATAVERSITY
The majority of successful organizations in today’s economy are data-driven, and innovative companies are looking at new ways to leverage data and information for strategic advantage. While the opportunities are vast, and the value has clearly been shown across a number of industries in using data to strategic advantage, the choices in technology can be overwhelming. From Big Data to Artificial Intelligence to Data Lakes and Warehouses, the industry is continually evolving to provide new and exciting technological solutions.
This webinar will help make sense of the various data architectures & technologies available, and how to leverage them for business value and success. A practical framework will be provided to generate “quick wins” for your organization, while at the same time building towards a longer-term sustainable architecture. Case studies will also be provided to show how successful organizations have successfully built a data strategies to support their business goals.
You Need a Data Catalog. Do You Know Why?Precisely
The data catalog has become a popular discussion topic within data management and data governance circles. A data catalog is a central repository that contains metadata for describing data sets, how they are defined, and where to find them. TDWI research indicates that implementing a data catalog is a top priority among organizations we survey. The data catalog can also play an important part in the governance process. It provides features that help ensure data quality, compliance, and that trusted data is used for analysis. Without an in-depth knowledge of data and associated metadata, organizations cannot truly safeguard and govern their data.
Join this on-demand webinar to learn more about the data catalog and its role in data governance efforts.
Topics include:
· Data management challenges and priorities
· The modern data catalog – what it is and why it is important
· The role of the modern data catalog in your data quality and governance programs
· The kinds of information that should be in your data catalog and why
SharePoint online training offered by Quontra Solutions with special features having Extensive Training will be in both SharePoint Online Training and Placement. We help you in resume preparation and conducting Mock Interviews.
Emphasis is given on important topics that were required and mostly used in real time projects. Quontra Solutions is an Online Training Leader when it comes to high-end effective and efficient IT Training. We have always been and still are focusing on the key aspect which is providing utmost effective and competent training to both students and professionals who are eager to enrich their technical skills.
Taming Information Chaos in SharePoint 2010Eric Shupps
This document discusses information architecture and metadata in SharePoint. It defines information architecture as the organizational structure for data formats, categories and relationships. Good information architecture increases usability, reliability and security. Metadata provides additional information about objects to facilitate organization and discovery. The document discusses managed metadata in SharePoint and how it can be used to enhance search, navigation and content management. It provides demonstrations of creating term stores and content type syndication.
Data Architecture Best Practices for Advanced AnalyticsDATAVERSITY
Many organizations are immature when it comes to data and analytics use. The answer lies in delivering a greater level of insight from data, straight to the point of need.
There are so many Data Architecture best practices today, accumulated from years of practice. In this webinar, William will look at some Data Architecture best practices that he believes have emerged in the past two years and are not worked into many enterprise data programs yet. These are keepers and will be required to move towards, by one means or another, so it’s best to mindfully work them into the environment.
This document discusses taxonomy and metadata. It defines taxonomy as a classification scheme designed to group related things together, which can be informal or highly formalized. Taxonomies are semantic and provide a fixed vocabulary to label content meaningfully. Taxonomies act as knowledge maps and artificial memory devices by structuring concepts. The document also defines metadata as "data about data" such as author, title, and other information about a document. Metadata is used to identify, manage, retrieve, and connect content, as well as support business processes and records management. Standards like Dublin Core are discussed, as well as challenges around enforcing metadata use and acquiring metadata from users.
Metadata management is critical for organizations looking to understand the context, definition and lineage of key data assets. Data models play a key role in metadata management, as many of the key structural and business definitions are stored within the models themselves. Can data models replace traditional metadata solutions? Or should they integrate with larger metadata management tools & initiatives?
Join this webinar to discuss opportunities and challenges around:
How data modeling fits within a larger metadata management landscape
When can data modeling provide “just enough” metadata management
Key data modeling artifacts for metadata
Organization, Roles & Implementation Considerations
The document discusses best practices for capturing data requirements for projects that are data-rich. It emphasizes the importance of taking a top-down requirements approach and maintaining traceability between requirements. While use cases are useful, they often do not fully capture data needs. The document advocates looking beyond immediate needs to plan for business intelligence by capturing additional relevant data elements upfront.
The document discusses elements of developing a business intelligence strategy, including understanding an organization's BI maturity level, aligning metrics and goals across different business units, establishing a Business Intelligence Competency Center, and determining whether to build a BI solution from scratch or purchase pre-built BI applications. It provides an overview of various components that should be considered when creating a comprehensive BI strategy.
Contact Innovate Vancouver to help on your next project!
Knowledge Management in Sharepoint - Article:
https://innovatevancouver.org/2022/10/10/knowledge-management-in-sharepoint/
Travis Barker, MPA GCPM
[email protected]
https://innovatevancouver.org
The document discusses using SharePoint 2010 as a document management system. It provides details on document management features in SharePoint including metadata, content types, site columns and libraries. Metadata is described as driving all content organization in SharePoint. Specific steps are outlined for creating content types and site columns to organize documents. Content types allow documents to be categorized and associated metadata to be automatically added. The document also provides examples of how different types of documents could be organized in libraries using content types and metadata fields.
Content services to capture and scale your expertise
SharePoint Syntex uses advanced AI and machine teaching to amplify human expertise, automate content processing, and transform content into knowledge.
Content understanding
Create AI models that capture expertise to classify and extract information and automatically apply metadata.
Capture expertise with AI
Build no-code AI models that teach the cloud to read content the way you do.
Enrich content and metadata
Find key facts in your content to improve search and teamwork.
Content processing
Automate the capture, ingestion, and categorization of content and streamline content-centric processes.
Automatically classify content
Use advanced AI in SharePoint Syntex to capture and tag structured and unstructured content.
Streamline content processes
Integrate with Power Automate to build workflows that leverage extracted metadata.
Content compliance
Connect and manage content to improve security and compliance.
Integrate content across systems
Connect SharePoint Syntex to content inside and outside Microsoft 365.
Protect and manage content
Enforce security and compliance policies with automatically applied sensitivity and retention labels.
This document provides an overview of the Alteryx self-service data analytics platform. It describes Alteryx as a platform that combines data preparation, blending, and predictive, statistical and spatial analytics in an intuitive interface. It then discusses the different types of users of Alteryx, including data analysts, BI developers, and DBAs. Finally, it promotes trying Alteryx for free and provides a demonstration of its data preparation, blending, statistical analysis and spatial analysis capabilities using Pokémon Go datasets.
Presentation given on March 12, 2013 by Marjorie M.K. Hlava of Access Innovations, Inc. as a webinar for the San Francisco chapter of the Special Libraries Association.
Data protection and privacy regulations such as the EU’s General Data Protection Regulation (GDPR), the California Consumer Privacy Act (CCPA), and Singapore’s Personal Data Protection Act (PDPA) have been major drivers for data governance initiatives and the emergence of data catalog solutions. Organizations have an ever-increasing appetite to leverage their data for business advantage, either through internal collaboration, data sharing across ecosystems, direct commercialization, or as the basis for AI-driven business decision-making. This requires data governance and especially data asset catalog solutions to step up once again and enable data-driven businesses to leverage their data responsibly, ethically, compliantly, and accountably.
This presentation explores how data catalog has become a key technology enabler in overcoming these challenges.
Tackling Data Quality problems requires more than a series of tactical, one-off improvement projects. By their nature, many Data Quality problems extend across and often beyond an organization. Addressing these issues requires a holistic architectural approach combining people, process, and technology. Join Nigel Turner and Donna Burbank as they provide practical ways to control Data Quality issues in your organization.
This document provides an overview and evaluation of several leading vendors in the IT service management (ITSM) platforms market, including Atlassian, BMC, and EasyVista. It examines each vendor's product offerings, strategies, strengths, and cautions. Key information includes Atlassian's focus on providing a single platform for development, operations, and business teams; BMC's capabilities for mature service operations and its global enterprise experience; and EasyVista's targeting of the midmarket and specific verticals through newly acquired capabilities and customer initiatives. The document is Gartner's Magic Quadrant report on ITSM platforms published on October 31, 2022.
The document discusses operational data warehousing and the Data Vault model. It begins with an agenda for the presentation and introduction of the speaker. It then provides a short review of the Data Vault model. The remainder of the document discusses operational data warehousing, how the Data Vault model is well-suited for this purpose, and the benefits it provides including flexibility, scalability, and productivity. It also discusses how tools and technologies are advancing to support automation and self-service business intelligence using an operational data warehouse architecture based on the Data Vault model.
This SharePoint Power User training is designed for individuals who need to learn the fundamentals of managing SharePoint sites. Is your organization using (or thinking about) SharePoint? SharePoint Power User Course will equip you to know how to be more productive and work more efficiently in SharePoint. After an introduction to SharePoint 2013, you will learn many practical tools, from site creation and deletion to creating and managing lists and libraries.
Data mesh is a decentralized approach to managing and accessing analytical data at scale. It distributes responsibility for data pipelines and quality to domain experts. The key principles are domain-centric ownership, treating data as a product, and using a common self-service infrastructure platform. Snowflake is well-suited for implementing a data mesh with its capabilities for sharing data and functions securely across accounts and clouds, with built-in governance and a data marketplace for discovery. A data mesh implemented on Snowflake's data cloud can support truly global and multi-cloud data sharing and management according to data mesh principles.
Data Architecture Strategies: Building an Enterprise Data Strategy – Where to...DATAVERSITY
The majority of successful organizations in today’s economy are data-driven, and innovative companies are looking at new ways to leverage data and information for strategic advantage. While the opportunities are vast, and the value has clearly been shown across a number of industries in using data to strategic advantage, the choices in technology can be overwhelming. From Big Data to Artificial Intelligence to Data Lakes and Warehouses, the industry is continually evolving to provide new and exciting technological solutions.
This webinar will help make sense of the various data architectures & technologies available, and how to leverage them for business value and success. A practical framework will be provided to generate “quick wins” for your organization, while at the same time building towards a longer-term sustainable architecture. Case studies will also be provided to show how successful organizations have successfully built a data strategies to support their business goals.
You Need a Data Catalog. Do You Know Why?Precisely
The data catalog has become a popular discussion topic within data management and data governance circles. A data catalog is a central repository that contains metadata for describing data sets, how they are defined, and where to find them. TDWI research indicates that implementing a data catalog is a top priority among organizations we survey. The data catalog can also play an important part in the governance process. It provides features that help ensure data quality, compliance, and that trusted data is used for analysis. Without an in-depth knowledge of data and associated metadata, organizations cannot truly safeguard and govern their data.
Join this on-demand webinar to learn more about the data catalog and its role in data governance efforts.
Topics include:
· Data management challenges and priorities
· The modern data catalog – what it is and why it is important
· The role of the modern data catalog in your data quality and governance programs
· The kinds of information that should be in your data catalog and why
SharePoint online training offered by Quontra Solutions with special features having Extensive Training will be in both SharePoint Online Training and Placement. We help you in resume preparation and conducting Mock Interviews.
Emphasis is given on important topics that were required and mostly used in real time projects. Quontra Solutions is an Online Training Leader when it comes to high-end effective and efficient IT Training. We have always been and still are focusing on the key aspect which is providing utmost effective and competent training to both students and professionals who are eager to enrich their technical skills.
Taming Information Chaos in SharePoint 2010Eric Shupps
This document discusses information architecture and metadata in SharePoint. It defines information architecture as the organizational structure for data formats, categories and relationships. Good information architecture increases usability, reliability and security. Metadata provides additional information about objects to facilitate organization and discovery. The document discusses managed metadata in SharePoint and how it can be used to enhance search, navigation and content management. It provides demonstrations of creating term stores and content type syndication.
This document discusses taxonomies, metadata, and how they work together. It defines taxonomy as a hierarchical classification system and metadata as data that describes other data. Taxonomies facilitate organization, discovery, and retrieval of resources, while metadata supports identification and management. Both taxonomies and metadata can evolve over time through standards development and user contributions. When used together, taxonomies provide a classification structure and metadata describes resources within that structure.
The Role of Taxonomy and Ontology in Semantic Layers - Heather Hedden.pdfEnterprise Knowledge
Heather Hedden, Senior Consultant at Enterprise Knowledge, presented “The Role of Taxonomy and Ontology in Semantic Layers” at a webinar hosted by Progress Semaphore on April 16, 2024.
Taxonomies at their core enable effective tagging and retrieval of content, and combined with ontologies they extend to the management and understanding of related data. There are even greater benefits of taxonomies and ontologies to enhance your enterprise information architecture when applying them to a semantic layer. A survey by DBP-Institute found that enterprises using a semantic layer see their business outcomes improve by four times, while reducing their data and analytics costs. Extending taxonomies to a semantic layer can be a game-changing solution, allowing you to connect information silos, alleviate knowledge gaps, and derive new insights.
Hedden, who specializes in taxonomy design and implementation, presented how the value of taxonomies shouldn’t reside in silos but be integrated with ontologies into a semantic layer.
Learn about:
- The essence and purpose of taxonomies and ontologies in information and knowledge management;
- Advantages of semantic layers leveraging organizational taxonomies; and
- Components and approaches to creating a semantic layer, including the integration of taxonomies and ontologies
SharePoint Saturday New york City - The importance of metadata #spsnycVincent Biret
This document discusses the importance of metadata for improving search, navigation, and discoverability of information. It defines metadata as data that describes content and relationships between files to facilitate search, discovery, and management of information. It provides examples of different types of metadata like bibliographic, administrative, technical, and descriptive metadata. It also discusses metadata standards like Dublin Core and how to structure metadata through controlled vocabularies, taxonomies, thesauruses, ontologies, and folksonomies. Finally, it discusses how SharePoint can leverage metadata through features like folders, taxonomy, keywords, document sets, content types, and facets to improve search and governance of information.
This document outlines a presentation on taming taxonomy in SharePoint. The presentation covers content architecture and taxonomy theory, including how they relate. It discusses practical SharePoint concepts like content types, site columns, and metadata in depth. The presentation includes an exercise where attendees work through a taxonomy scenario. It emphasizes the importance of planning, documenting, and following governance for taxonomy.
This document discusses strategies for implementing social media and metadata management in SharePoint. It begins with definitions of social media and metadata. It then discusses why metadata is important for enabling search, discovery, and reuse of content. Common problems with inconsistent or lacking metadata are explained. The document outlines best practices for planning a social media strategy including defining requirements, centralizing taxonomy, and recruiting key stakeholders. Emerging technologies that integrate with social media are also highlighted.
Webinar held 6 October 2020.
The webinar is relevant for new and existing Crossref members, publishers, editors, researchers, service
providers, hosting platforms, funders, librarians; really anyone interested in finding out a bit more about what
Crossref is and does.
This webinar covers:
• How to register content with Crossref
• How to make updates to your metadata in order to make changes, corrections, or to add more detail
• Participation reports
• Additional services and where to find help.
Sessions presented in English by Crossref staff.
NHSPUG June 2015 - Must Love Term Sets: The New and Improved Managed Metadat...Jonathan Ralton
The document is a presentation on managed metadata in SharePoint 2013. It discusses the new managed metadata service, term store, and content type syndication features. The presentation provides an overview of these new features, including improvements to the user interface for managing terms, support for multi-lingual terms, managed navigation, hashtags, and the taxonomy API. It also discusses considerations for using term sets, columns, and content type publishing across sites.
This is a discussion about knowledge management in both artifact and tacid approach and how SharePoint can be used to apply this. We will look at tools in sharepoint, how traditional approach and pervasive approach could be applied and lastly at clutural issues that needs to be overcome in moving to a more pervasive environment.
The Learning Registry is an online platform that allows the educational community to publish and consume educational resources. It facilitates data exchange and collaboration between resource creators, educators, and users. Using the Learning Registry with Illinois Pathways could provide benefits like expanded access to trustworthy descriptive data on career and technical education resources, pooling contextual knowledge about such resources, and providing tools to analyze "big data" about resource usage.
Looking Under the Hood -- Australia SharePoint ConferenceChristian Buckley
"Looking Under the Hood: How Your Metadata Strategy Impacts Everything You Do" was presented on 3/9/2011 at the Australia SharePoint Conference in Sydney.
Presentation to the Information & Knowledge Management Society in Singapore, March 2008, on approaches to integrating controlled and uncontrolled vocabularies.
SPSBOS -- How your metadata strategy impacts everything you doChristian Buckley
Presentation given 4-9-2011 at SharePoint Saturday Boston on the need for sound metadata and taxonomy strategy in any SharePoint deployment (or re-architecture).
Looking Under the Hood: How Your Metadata Strategy Impacts Everything You DoChristian Buckley
A SharePoint 101 presentation that outlines metadata, taxonomy, and governance - what they are, why they are important, and how they affect everything you do inside SharePoint (specifically, SP2010)
How your metadata strategy impacts everything you doChristian Buckley
Christian Buckley discusses the importance of metadata strategy for SharePoint implementations. He explains that without a clear taxonomy and metadata plan, content becomes difficult to find, share, and govern. Buckley recommends mapping high-level site collections and content types, understanding current and future metadata needs, and establishing a governance model to guide the process. With a strong metadata strategy in place, organizations can better leverage SharePoint services and improve collaboration.
- The document discusses setting up an effective content management system in SharePoint by developing a content architecture and taxonomy. It covers key concepts like content types, site columns, and metadata that form the building blocks of organizing content in SharePoint.
- An effective content architecture relies on defining relevant content types and site columns and associating them with terms from the taxonomy at the appropriate levels to properly categorize and surface content.
- The presenter provides guidance on how to strategically design content types and site columns that align with business needs and allow content to be consistently organized across sites.
This document discusses strategies for maximizing search in SharePoint. It describes the mechanics of search including crawling, indexing, and ranking. It emphasizes the importance of metadata, content types, and the search schema to improve findability and manageability of search results. Advanced techniques include understanding site structure, content being published, and how people find information.
The document discusses a presentation on taming taxonomies in SharePoint. It covers content architecture and taxonomy concepts in theory, and explores content types, site columns, and metadata in practice. The presentation includes exercises to design content structures and apply metadata using SharePoint's building blocks.
AI Changes Everything – Talk at Cardiff Metropolitan University, 29th April 2...Alan Dix
Talk at the final event of Data Fusion Dynamics: A Collaborative UK-Saudi Initiative in Cybersecurity and Artificial Intelligence funded by the British Council UK-Saudi Challenge Fund 2024, Cardiff Metropolitan University, 29th April 2025
https://alandix.com/academic/talks/CMet2025-AI-Changes-Everything/
Is AI just another technology, or does it fundamentally change the way we live and think?
Every technology has a direct impact with micro-ethical consequences, some good, some bad. However more profound are the ways in which some technologies reshape the very fabric of society with macro-ethical impacts. The invention of the stirrup revolutionised mounted combat, but as a side effect gave rise to the feudal system, which still shapes politics today. The internal combustion engine offers personal freedom and creates pollution, but has also transformed the nature of urban planning and international trade. When we look at AI the micro-ethical issues, such as bias, are most obvious, but the macro-ethical challenges may be greater.
At a micro-ethical level AI has the potential to deepen social, ethnic and gender bias, issues I have warned about since the early 1990s! It is also being used increasingly on the battlefield. However, it also offers amazing opportunities in health and educations, as the recent Nobel prizes for the developers of AlphaFold illustrate. More radically, the need to encode ethics acts as a mirror to surface essential ethical problems and conflicts.
At the macro-ethical level, by the early 2000s digital technology had already begun to undermine sovereignty (e.g. gambling), market economics (through network effects and emergent monopolies), and the very meaning of money. Modern AI is the child of big data, big computation and ultimately big business, intensifying the inherent tendency of digital technology to concentrate power. AI is already unravelling the fundamentals of the social, political and economic world around us, but this is a world that needs radical reimagining to overcome the global environmental and human challenges that confront us. Our challenge is whether to let the threads fall as they may, or to use them to weave a better future.
Big Data Analytics Quick Research Guide by Arthur MorganArthur Morgan
This is a Quick Research Guide (QRG).
QRGs include the following:
- A brief, high-level overview of the QRG topic.
- A milestone timeline for the QRG topic.
- Links to various free online resource materials to provide a deeper dive into the QRG topic.
- Conclusion and a recommendation for at least two books available in the SJPL system on the QRG topic.
QRGs planned for the series:
- Artificial Intelligence QRG
- Quantum Computing QRG
- Big Data Analytics QRG
- Spacecraft Guidance, Navigation & Control QRG (coming 2026)
- UK Home Computing & The Birth of ARM QRG (coming 2027)
Any questions or comments?
- Please contact Arthur Morgan at [email protected].
100% human made.
Artificial Intelligence is providing benefits in many areas of work within the heritage sector, from image analysis, to ideas generation, and new research tools. However, it is more critical than ever for people, with analogue intelligence, to ensure the integrity and ethical use of AI. Including real people can improve the use of AI by identifying potential biases, cross-checking results, refining workflows, and providing contextual relevance to AI-driven results.
News about the impact of AI often paints a rosy picture. In practice, there are many potential pitfalls. This presentation discusses these issues and looks at the role of analogue intelligence and analogue interfaces in providing the best results to our audiences. How do we deal with factually incorrect results? How do we get content generated that better reflects the diversity of our communities? What roles are there for physical, in-person experiences in the digital world?
AI EngineHost Review: Revolutionary USA Datacenter-Based Hosting with NVIDIA ...SOFTTECHHUB
I started my online journey with several hosting services before stumbling upon Ai EngineHost. At first, the idea of paying one fee and getting lifetime access seemed too good to pass up. The platform is built on reliable US-based servers, ensuring your projects run at high speeds and remain safe. Let me take you step by step through its benefits and features as I explain why this hosting solution is a perfect fit for digital entrepreneurs.
Semantic Cultivators : The Critical Future Role to Enable AIartmondano
By 2026, AI agents will consume 10x more enterprise data than humans, but with none of the contextual understanding that prevents catastrophic misinterpretations.
Massive Power Outage Hits Spain, Portugal, and France: Causes, Impact, and On...Aqusag Technologies
In late April 2025, a significant portion of Europe, particularly Spain, Portugal, and parts of southern France, experienced widespread, rolling power outages that continue to affect millions of residents, businesses, and infrastructure systems.
Enhancing ICU Intelligence: How Our Functional Testing Enabled a Healthcare I...Impelsys Inc.
Impelsys provided a robust testing solution, leveraging a risk-based and requirement-mapped approach to validate ICU Connect and CritiXpert. A well-defined test suite was developed to assess data communication, clinical data collection, transformation, and visualization across integrated devices.
Quantum Computing Quick Research Guide by Arthur MorganArthur Morgan
This is a Quick Research Guide (QRG).
QRGs include the following:
- A brief, high-level overview of the QRG topic.
- A milestone timeline for the QRG topic.
- Links to various free online resource materials to provide a deeper dive into the QRG topic.
- Conclusion and a recommendation for at least two books available in the SJPL system on the QRG topic.
QRGs planned for the series:
- Artificial Intelligence QRG
- Quantum Computing QRG
- Big Data Analytics QRG
- Spacecraft Guidance, Navigation & Control QRG (coming 2026)
- UK Home Computing & The Birth of ARM QRG (coming 2027)
Any questions or comments?
- Please contact Arthur Morgan at [email protected].
100% human made.
What is Model Context Protocol(MCP) - The new technology for communication bw...Vishnu Singh Chundawat
The MCP (Model Context Protocol) is a framework designed to manage context and interaction within complex systems. This SlideShare presentation will provide a detailed overview of the MCP Model, its applications, and how it plays a crucial role in improving communication and decision-making in distributed systems. We will explore the key concepts behind the protocol, including the importance of context, data management, and how this model enhances system adaptability and responsiveness. Ideal for software developers, system architects, and IT professionals, this presentation will offer valuable insights into how the MCP Model can streamline workflows, improve efficiency, and create more intuitive systems for a wide range of use cases.
Dev Dives: Automate and orchestrate your processes with UiPath MaestroUiPathCommunity
This session is designed to equip developers with the skills needed to build mission-critical, end-to-end processes that seamlessly orchestrate agents, people, and robots.
📕 Here's what you can expect:
- Modeling: Build end-to-end processes using BPMN.
- Implementing: Integrate agentic tasks, RPA, APIs, and advanced decisioning into processes.
- Operating: Control process instances with rewind, replay, pause, and stop functions.
- Monitoring: Use dashboards and embedded analytics for real-time insights into process instances.
This webinar is a must-attend for developers looking to enhance their agentic automation skills and orchestrate robust, mission-critical processes.
👨🏫 Speaker:
Andrei Vintila, Principal Product Manager @UiPath
This session streamed live on April 29, 2025, 16:00 CET.
Check out all our upcoming Dev Dives sessions at https://community.uipath.com/dev-dives-automation-developer-2025/.
TrustArc Webinar: Consumer Expectations vs Corporate Realities on Data Broker...TrustArc
Most consumers believe they’re making informed decisions about their personal data—adjusting privacy settings, blocking trackers, and opting out where they can. However, our new research reveals that while awareness is high, taking meaningful action is still lacking. On the corporate side, many organizations report strong policies for managing third-party data and consumer consent yet fall short when it comes to consistency, accountability and transparency.
This session will explore the research findings from TrustArc’s Privacy Pulse Survey, examining consumer attitudes toward personal data collection and practical suggestions for corporate practices around purchasing third-party data.
Attendees will learn:
- Consumer awareness around data brokers and what consumers are doing to limit data collection
- How businesses assess third-party vendors and their consent management operations
- Where business preparedness needs improvement
- What these trends mean for the future of privacy governance and public trust
This discussion is essential for privacy, risk, and compliance professionals who want to ground their strategies in current data and prepare for what’s next in the privacy landscape.
This is the keynote of the Into the Box conference, highlighting the release of the BoxLang JVM language, its key enhancements, and its vision for the future.
Increasing Retail Store Efficiency How can Planograms Save Time and Money.pptxAnoop Ashok
In today's fast-paced retail environment, efficiency is key. Every minute counts, and every penny matters. One tool that can significantly boost your store's efficiency is a well-executed planogram. These visual merchandising blueprints not only enhance store layouts but also save time and money in the process.
Procurement Insights Cost To Value Guide.pptxJon Hansen
Procurement Insights integrated Historic Procurement Industry Archives, serves as a powerful complement — not a competitor — to other procurement industry firms. It fills critical gaps in depth, agility, and contextual insight that most traditional analyst and association models overlook.
Learn more about this value- driven proprietary service offering here.
Noah Loul Shares 5 Steps to Implement AI Agents for Maximum Business Efficien...Noah Loul
Artificial intelligence is changing how businesses operate. Companies are using AI agents to automate tasks, reduce time spent on repetitive work, and focus more on high-value activities. Noah Loul, an AI strategist and entrepreneur, has helped dozens of companies streamline their operations using smart automation. He believes AI agents aren't just tools—they're workers that take on repeatable tasks so your human team can focus on what matters. If you want to reduce time waste and increase output, AI agents are the next move.
Spark is a powerhouse for large datasets, but when it comes to smaller data workloads, its overhead can sometimes slow things down. What if you could achieve high performance and efficiency without the need for Spark?
At S&P Global Commodity Insights, having a complete view of global energy and commodities markets enables customers to make data-driven decisions with confidence and create long-term, sustainable value. 🌍
Explore delta-rs + CDC and how these open-source innovations power lightweight, high-performance data applications beyond Spark! 🚀
2. What is Metadata?
Metadata is information that describes, classifies or identifies a piece of
information. Metadata is typically described as a set of attributes that help to
describe or classify an object.
6. Advanced Metadata – Synonyms
Blue = Bleu = Blau =
Each of these terms point to the same concept…
7. Advanced Metadata - Hierarchies
United States
Colorado Denver
New York Albany
Canada
Ontario
Toronto
Barrie
Alberta Calgary
8. What is a Taxonomy?
The science dealing with the
description, identification, naming,
and classification of organisms.
A classification into ordered
categories.
Kingdom
Phylum
Class
Order
Family
Genus
Species
9. Why is Metadata Important?
Identification of unique records
Aggregating content based on common attributes or types
Search indexes metadata
Filtered views
Browse
Security and permissions
Workflow and Document Lifecycle
10. Taxonomy Tools in SharePoint…Which Ones Do We Use?
Content Types
Site Hierarchy
Security
Term Trees
Collaboration
Folksonomy /
Social
Search
Publishing
Social /
Personal
Site Templates
Site Collections
Structure
Consumption
Views
Browse
Taxonomy Lifecycle
Records
Management
Classification
11. Content Types
• Reusable collection of settings that you want to apply to a certain category of content
• Content types are “inherited”
• Content type defines:
• Metadata
• New, edit and display forms
• Workflows
• Document template
• Content types are scoped to a site and then available to sub-sites and child lists
• Updating content types push changes down to the children
• Content types drive information management policies for retention and document routing
• Content types live in Site Collections but can be syndicated
12. Site Columns
• Can be added to Lists, Document Libraries or Content Types
• Site columns scoped to a site and then available to sub-sites and child lists
• Site Column type can be Managed Metadata
13. Managed Metadata
• Collections of centrally managed terms (term sets)
• Shared across site collections and web applications
• Terms Sets are:
• Hierarchical sets of terms
• Local to Site Collection or global
• Open (users can add terms) or Closed (users cannot add terms)
• Terms support synonyms
• Enterprise keywords used for folksonomy